… to detect various types of objects for video surveillance applications with improved accuracy.
Further, various challenges and applications of Object Detection methods are elaborated. …

There is an increasing desire and need in video surveillance applications for a proposed
solution to be able to analyze human behaviors and identify subjects for standoff threat …

… In particular, his research activity covered real-time video analysis and interpretation for
traffic monitoring and video surveillance applications, classification techniques, either statistical, …

… shape estimation are far from solved, many applications have made considerable progress.
Video Surveillance is a thriving example of such an application. On the one hand, worldwide …

… In this section, we define an estimation algorithm to track people in video surveillance
applications, which we have named iTrack. This algorithm is based on the Bayesian probabilistic …

… the field of automated video surveillance through detection, … before reliable automated video
surveillance can be realized. … behavior analysis work in video surveillance and compare the …

… In general, the framework of a video surveillance … video surveillance can be realized. This
paper reviews developments and general strategies of stages involved in video surveillance, …

… is very dependent on the application [62]. For example, people are objects of interest in
video surveillance applications while in a traffic monitoring application on roads, people do not …

Crowd density analysis is a crucial component in visual surveillance mainly for security
monitoring. This paper proposes a novel approach for crowd density measure, in which local …

… smart video sensor. This sensor has been applied in a video surveillance application where
some of these video … the sensory nodes of a distributed surveillance system. In this system, a …